Local compression of the magnetic particle imaging system matrix for efficient image reconstruction

2015 ◽  
Author(s):  
Tobias Knopp ◽  
Alexander Weber
Keyword(s):  
Image Reconstruction ◽  
Magnetic Particle ◽  
Imaging System ◽  
System Matrix ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

Reconstruction Enhancement by Denoising the Magnetic Particle Imaging System Matrix Using Frequency Domain Filter

2015 ◽  
Vol 51 (2) ◽  
pp. 1-5 ◽  
Author(s):  
Alexander Weber ◽  
Jurgen Weizenecker ◽  
Ulrich Heinen ◽  
Michael Heidenreich ◽  
Thorsten M. Buzug
Keyword(s):  
Frequency Domain ◽  
Magnetic Particle ◽  
Imaging System ◽  
System Matrix ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

scholarly journals Efficient hybrid 3D system calibration for magnetic particle imaging systems using a dedicated device

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Anselm von Gladiss ◽  
Matthias Graeser ◽  
André Behrends ◽  
Xin Chen ◽  
Thorsten M. Buzug
Keyword(s):  
Image Reconstruction ◽  
Hybrid System ◽  
Magnetic Particle ◽  
Signal To Noise Ratio ◽  
Measurement Time ◽  
Time Signal ◽  
Signal Acquisition ◽  
System Matrix ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

Abstract Image reconstruction in magnetic particle imaging is often performed using a system matrix based approach. The acquisition of a system matrix is a time-consuming calibration which may take several weeks and thus, is not feasible for a clinical device. Due to hardware characteristics of the receive chain, a system matrix may not even be used in similar devices but has to be acquired for each imager. In this work, a dedicated device is used for measuring a hybrid system matrix. It is shown that the measurement time of a 3D system matrix is reduced by 96%. The transfer function of the receive chains is measured, which allows the use of the same system matrix in multiple devices. Equivalent image reconstruction results are reached using the hybrid system matrix. Furthermore, the inhomogeneous sensitivity profile of receive coils is successfully applied to a hybrid system matrix. It is shown that each aspect of signal acquisition in magnetic particle imaging can be taken into account using hybrid system matrices. It is favourable to use a hybrid system matrix for image reconstruction in terms of measurement time, signal-to-noise ratio and discretisation.

scholarly journals Reconstruction of the Magnetic Particle Imaging System Matrix Using Symmetries and Compressed Sensing

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
A. Weber ◽  
T. Knopp
Keyword(s):  
Compressed Sensing ◽  
Magnetic Particle ◽  
Imaging System ◽  
Superparamagnetic Iron Oxide ◽  
Calibration Procedure ◽  
Field Of View ◽  
System Matrix ◽  
Magnetic Particle Imaging ◽  
Calibration Measurement ◽  
Particle Imaging

Magnetic particle imaging (MPI) is a tomographic imaging technique that allows the determination of the 3D spatial distribution of superparamagnetic iron oxide nanoparticles. Due to the complex dynamic nature of these nanoparticles, a time-consuming calibration measurement has to be performed prior to image reconstruction. During the calibration a small delta sample filled with the particle suspension is measured at all positions in the field of view where the particle distribution will be reconstructed. Recently, it has been shown that the calibration procedure can be significantly shortened by sampling the field of view only at few randomly chosen positions and applying compressed sensing to reconstruct the full MPI system matrix. The purpose of this work is to reduce the number of necessary calibration scans even further. To this end, we take into account symmetries of the MPI system matrix and combine this knowledge with the compressed sensing method. Experiments on 2D MPI data show that the combination of symmetry and compressed sensing allows reducing the number of calibration scans compared to the pure compressed sensing approach by a factor of about three.

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